The risk of disruption to a supply chain can be explained as any incident that negatively affects a business’s operations and is typically short-term and localized due to crises. There is scarce information on extended and global supply chain disruptions (SCD) impacting supply chain (SC) stability. The paper aims to use regional census data from a prominent food production company to identify and quantify the drivers of instability during a long-term disruption. This research uses multivariate control charting methodologies, data mining, and feature analysis to determine how geographical, demographic, and product characteristics impact SC stability.